Internet of Things (IoT) Training in Slovakia

This instructor-led, live training in Slovakia (online or onsite) is aimed at advanced-level IoT developers and smart home enthusiasts who wish to automate IoT processes and create innovative solutions using n8n.

By the end of this training, participants will be able to:

• Set up and configure n8n for IoT workflow automation.
• Integrate IoT devices and platforms using n8n nodes and connectors.
• Implement custom workflows to automate IoT tasks and processes.
• Use IoT protocols like MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimize IoT automation workflows.

6G is the next-generation wireless communication standard poised to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing, and integrated AI capabilities.

This instructor-led, live training (online or onsite) is designed for advanced-level participants who want to understand and leverage the emerging intersection of 6G technologies and IoT applications.

By completing this course, learners will gain the ability to:

• Explain the fundamental technical concepts behind 6G.
• Assess how 6G will transform IoT device communication and architecture.
• Evaluate 6G-enabled IoT use cases across various industries.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Format of the Course

• Concept-focused lectures combined with expert discussions.
• Applied exercises designed to reinforce key engineering principles.
• Case-based exploration and scenario analysis in a guided environment.

Course Customization Options

• For customized versions of this training aligned with your organization's technology roadmap, please contact us to arrange.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.

By the end of this training, participants will be able to:

• Understand the principles and benefits of Federated Learning in IoT and edge computing.
• Implement Federated Learning models on IoT devices for decentralized AI processing.
• Reduce latency and improve real-time decision-making in edge computing environments.
• Address challenges related to data privacy and network constraints in IoT systems.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

By the end of this training, participants will be able to:

• Understand the fundamentals of Edge AI and its application in IoT.
• Set up and configure Edge AI environments for IoT devices.
• Develop and deploy AI models on edge devices for IoT applications.
• Implement real-time data processing and decision-making in IoT systems.
• Integrate Edge AI with various IoT protocols and platforms.
• Address ethical considerations and best practices in Edge AI for IoT.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of TinyML and its applications in IoT.
• Set up a TinyML development environment for IoT projects.
• Develop and deploy ML models on low-power microcontrollers.
• Implement predictive maintenance and anomaly detection using TinyML.
• Optimize TinyML models for efficient power and memory usage.

This instructor-led, live training in Slovakia (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.

By the end of this training, participants will be able to:

• Understand the principles of IoT and edge computing and their role in digital transformation.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Implement edge computing solutions for predictive maintenance and real-time decision-making.

Embedded systems are specialized computing systems designed to perform specific functions within larger systems. The Internet of Things (IoT) is a network of interconnected physical devices equipped with sensors and software that communicate and exchange data over the internet.

This instructor-led, live training (available online or on-site) is aimed at beginner-level technical professionals who wish to understand and apply embedded systems and IoT concepts using C programming and microcontroller architectures.

By the end of this training, participants will be able to:

• Understand the architecture and components of embedded systems.
• Write and compile C code for interacting with embedded hardware.
• Work with microcontroller peripherals such as timers and analog-to-digital converters (ADCs).
• Understand how embedded systems integrate into IoT architectures.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

The aim of the training is to introduce into the world of the Internet of Things (smart solutions) and blockchain as well as to show the advantages and disadvantages of these technological worlds.

The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.

The aim of the training is to explain what are - and what are not - Smart solutions (Internet of Things, AI, Blockchain, Virtual Reality, Metaverse) and to show the advantages and disadvantages of these technological worlds.

Advances in technology and the growing volume of information are reshaping business practices across various industries, including government. The generation and digital archiving of government data have increased due to the rapid proliferation of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information becomes more extensive and complex, the challenges in managing, processing, storing, securing, and disposing of this data also grow. New tools for capturing, searching, discovering, and analyzing unstructured data are enabling organizations to derive valuable insights. The government sector is at a critical juncture, recognizing that information is a strategic asset. Governments need to protect, leverage, and analyze both structured and unstructured data to better serve their citizens and meet mission requirements. As leaders strive to transform into data-driven organizations to achieve their goals, they are laying the foundation to understand the interdependencies among events, people, processes, and information.

High-value government solutions will emerge from a combination of the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data is one of the intelligent industry solutions that enable government to make better decisions by acting on patterns revealed through the analysis of large volumes of data—whether related or unrelated, structured or unstructured.

Achieving these outcomes requires more than just accumulating vast amounts of data. "Making sense of these volumes of Big Data necessitates cutting-edge tools and technologies that can analyze and extract useful knowledge from diverse and extensive information streams," Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a significant step to help agencies find these technologies by launching the National Big Data Research and Development Initiative in 2012. The initiative allocated more than $200 million to harness the potential of Big Data and develop the necessary tools for its analysis.

The challenges posed by Big Data are as formidable as its promise is encouraging. Efficient data storage is one such challenge. Given tight budgets, agencies must minimize the cost per megabyte of storage while ensuring that data remains easily accessible to users when and how they need it. Backing up large volumes of data further complicates this task.

Effectively analyzing the data is another major challenge. Many agencies use commercial tools to sift through vast amounts of data, identifying trends that can enhance operational efficiency. A recent study by MeriTalk found that federal IT executives believe Big Data could help agencies save over $500 billion while also achieving their mission objectives.

Custom-developed Big Data tools are also aiding agencies in analyzing their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has helped medical researchers identify a link that can alert doctors to aortic aneurysms before they occur. It is also used for more routine tasks, such as screening resumes to match job candidates with hiring managers.

Insurtech, also known as Digital Insurance, represents the integration of insurance with modern technologies. In this domain, "digital insurers" leverage technological innovations in their business and operational models to cut costs, enhance customer experience, and increase operational flexibility.

This instructor-led training aims to provide participants with a comprehensive understanding of the technologies, methods, and mindset necessary for driving digital transformation within their organizations and across the industry. The course is designed for managers who need an overarching view, demystify buzzwords, and take initial steps in formulating an Insurtech strategy.

By the end of this training, participants will be able to:

• Discuss Insurtech and its various components with intelligence and a systematic approach
• Identify and clarify the role of each key technology within Insurtech
• Develop a general strategy for implementing Insurtech within their organization

Audience

• Insurers
• Technologists in the insurance sector
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• A combination of lectures, discussions, exercises, and group activities focused on case studies

This instructor-led, live training in Slovakia (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

By the end of this training, participants will be able to:

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

This instructor-led, live training in Slovakia (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a secure IoT application.

By the end of this training, participants will be able to:

• Develop and deploy applications to manage IoT devices securely.
• Securely integrate IoT devices to the Cloud.
• Integrate an IoT application with existing infrastructure.

The Internet of Things (IoT) is an emerging technology that connects physical objects and software applications wirelessly for remote sensing and control. Augmented Reality (AR) enhances user experience by integrating virtual, computer-generated elements into the real-world environment. AR enables businesses to offer users a real-time, interactive view of information. These technologies are experiencing rapid adoption across various industries.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of IoT and AR and learn how to apply these concepts to their organizations' operations and strategies.

By the end of this training, participants will be able to:

• Understand the basics of IoT and AR
• Learn how IoT and AR technologies function
• Explore how IoT and AR can be integrated into their business strategies
• Make well-informed business decisions regarding IoT and AR

Audience

• Managers
• Entrepreneurs

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in Slovakia, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.

By the end of this training, participants will be able to:

• Understand the principles of IoT, including IoT components and communication techniques.
• Learn how to use Arduino communication modules that can be used for different IoT systems.
• Learn how to use and program a mobile app to control Arduino.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

The Internet of Things (IoT) is a network infrastructure that connects physical devices and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure offers a comprehensive suite of cloud services, including an IoT Suite with preconfigured solutions designed to help developers expedite the development of IoT projects.

In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.

By the end of this training, participants will be able to:

• Grasp the fundamental concepts of IoT architecture
• Install and configure the Azure IoT Suite
• Understand the advantages of using Azure for programming IoT systems
• Implement various Azure IoT services such as IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, and IoT Device Management
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

The Internet of Things (IoT) is a network infrastructure that connects physical devices and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. C is a versatile programming language widely recommended for IoT due to its widespread use and low-level programming advantages.

In this instructor-led, live training, participants will learn how to program IoT solutions using C.

By the end of this training, participants will be able to:

• Install and configure NetBeans for programming IoT systems with C
• Understand the basics of IoT architecture
• Recognize the benefits of using C in IoT programming
• Build, test, deploy, and troubleshoot an IoT system using C

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

Unlike other technologies, IoT (Internet of Things) is far more intricate, encompassing a wide range of core engineering disciplines such as Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each layer of its engineering involves aspects of economics, standards, regulations, and the evolving state of the art. This course, for the first time, offers a comprehensive overview of all these critical aspects of IoT Engineering.

Summary

An advanced training program covering the current advancements in Internet of Things technology.

This program delves into multiple technological domains to develop an awareness of an IoT system and its components, demonstrating how it can benefit businesses and organizations.

Live demonstrations of model IoT applications will showcase practical deployments across various industry sectors, including Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving connected devices and things.

Target Audience

The course is designed for managers responsible for business and operational processes within their organizations who wish to understand how to leverage IoT to enhance system efficiency.

It is also ideal for entrepreneurs and investors looking to build new ventures by gaining a deeper understanding of the IoT technology landscape, enabling them to utilize it effectively.

Estimates for the value of the Internet of Things (IoT) market are substantial. By definition, the IoT is an integrated and pervasive layer of devices, sensors, and computing power that spans consumer, business-to-business, and government industries. The number of IoT connections is expected to grow from 1.9 billion devices today to 9 billion by 2018, roughly equaling the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.

In the consumer space, many products and services have already transitioned into the IoT, including kitchen and home appliances, parking solutions, RFID technology, lighting and heating systems, and various applications in the Industrial Internet.

While the underlying technologies of IoT are not new—M2M (Machine-to-Machine) communication has existed since the inception of the internet—the recent surge in inexpensive wireless technologies and the widespread adoption of smartphones and tablets in homes have driven the current demand for IoT.

The vast opportunities in the IoT business have attracted a large number of small and medium-sized entrepreneurs, contributing to what is often referred to as an IoT gold rush. The emergence of open-source electronics and IoT platforms has made it increasingly affordable to develop and manage IoT systems on a significant scale. Existing electronic product owners are feeling pressure to integrate their devices with the internet or mobile apps.

This training aims to provide a technological and business review of this emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the fundamentals of IoT technology and its business potential.

Course Objective

The primary goal of the course is to introduce participants to the latest technological options, platforms, and case studies of IoT implementation in areas such as home and city automation (smart homes and cities), Industrial Internet, healthcare, government, mobile cellular networks, and more.

The course covers a basic introduction to all elements of IoT, including Mechanical components, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-Enterprise integration, Data analytics, and Total control plane.

It also explores M2M (Machine-to-Machine) wireless protocols for IoT, such as WiFi, Zigbee/Zwave, Bluetooth, and ANT+, explaining when and where to use each one.

The course discusses the development of Mobile/Desktop/Web applications for registration, data acquisition, and control, along with available M2M data acquisition platforms like Xively, Omega, and NovoTech.

It addresses security issues and solutions for IoT systems.

The training covers open-source and commercial electronics platforms for IoT, such as Raspberry Pi, Arduino, and ArmMbedLPC.

Additionally, it explores open-source and commercial enterprise cloud platforms like AWS-IoT apps, Azure-IOT, Watson-IOT cloud, and other minor IoT clouds.

The course includes case studies of the business and technology aspects of common IoT devices, such as home automation systems, smoke alarms, vehicles, military applications, and home health solutions.

The Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Java, known for its "write once, run anywhere" capability, is a versatile language well-suited for IoT due to its portability and efficiency.

In this instructor-led, live training, participants will learn how to program IoT solutions using Java.

By the end of this training, participants will be able to:

• Install and configure tools and frameworks (Eclipse Open IoT Stack) for programming IoT systems with Java
• Understand the basics of IoT architecture
• Utilize the Eclipse Open IoT Stack for Java to connect and manage devices in an IoT solution
• Build, test, and deploy an IoT system using Java

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

Unlike other technologies, the Internet of Things (IoT) is far more complex, encompassing almost every branch of core engineering, including Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each layer of IoT engineering involves aspects of economics, standards, regulations, and evolving state-of-the-art practices. This course is a pioneering effort to cover all these critical aspects of IoT Engineering.

For manufacturing professionals, the most crucial aspect is understanding advancements in Industrial Internet of Things (IIoT), which includes predictive and preventative maintenance, condition-based monitoring of machines, production optimization, energy efficiency, supply-chain optimization, and the uptime of manufacturing utilities, among others.

Summary

• An advanced training program that covers the current state-of-the-art in Internet of Things (IoT) for smart factories.
• Spans multiple technology domains to develop awareness of an IoT system and its components, and how it can benefit manufacturing managerial professionals.
• Live demonstrations of model IIoT applications for smart factories.

Target Audience

• Managers responsible for business and operational processes within their respective manufacturing organizations who wish to understand how to leverage IoT to make their systems and processes more efficient.

Duration 3 Days (8 hours/day)

Estimates for the value of the Internet of Things (IoT) market are substantial, given that by definition, the IoT is an integrated and pervasive layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for a significant number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the combined number of smartphones, smart TVs, tablets, wearable computers, and PCs.

In the consumer space, many products and services have already transitioned into the IoT, including kitchen and home appliances, parking solutions, RFID technology, lighting and heating systems, and various applications in Industrial Internet.

While the underlying technologies of IoT are not new—M2M communication has existed since the advent of the internet—what has changed in recent years is the emergence of numerous inexpensive wireless technologies, coupled with the widespread adoption of smartphones and tablets in every household. The explosive growth of mobile devices has driven the current demand for IoT.

Industrial IoT (IIoT) has been widely used in manufacturing since 2014, leading to a significant number of IIoT innovations. This course will introduce all the key aspects of these innovations in the Industrial IoT sector.

The training aims to provide a comprehensive technology and business review of an emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the fundamentals of IoT technology and business.

Course Objective

The primary objective of the course is to introduce emerging technological options, platforms, and case studies of IoT implementation in smart factories for manufacturing sectors.

1. Studies on the business and technology aspects of common IIoT platforms like Siemens MindSphere and Azure IoT.
2. Overview of open-source and commercial enterprise cloud platforms such as AWS-IoT, Azure-IOT, Watson-IOT, Mindsphere IIoT cloud, and other minor IoT clouds.
3. Exploration of open-source and commercial electronics platforms for IoT, including Raspberry Pi, Arduino, ArmMbedLPC, etc.
4. Discussion of security issues and solutions for IIoT.
5. Development of mobile/desktop/web applications for registration, data acquisition, and control.
6. Examination of M2M wireless protocols for IoT, such as WiFi, LoPan, BLE, Ethernet, Ethercat, PLC, and guidance on when and where to use each one.
7. Basic introduction to all elements of IoT, including mechanical components, electronics/sensor platforms, wireless and wireline protocols, mobile-to-electronics integration, mobile-to-enterprise integration, data analytics, and the total control plane.

Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications through wireless communication, enabling them to interact with each other and exchange data via network communications, cloud computing, and data capture.

Blockchain is a decentralized database system that stores data in ledgers distributed across numerous nodes.

The integration of blockchain technology with IoT allows for the accessibility and supply of IoT data without the need for central control. This combination opens up a range of new possibilities and multiple benefits for business organizations.

In this instructor-led, live training (remote), participants will learn how blockchain and IoT can work together as they engage in a series of hands-on live-lab exercises.

By the end of this training, participants will be able to:

• Understand how blockchain and IoT can collaborate to provide solutions for their organization
• Explore various tools and resources to implement a blockchain-based IoT solution for their organization

Audience

• Developers
• Managers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice.

Note

• To request a customized training for this course, please contact us to arrange.

Connected devices are revolutionizing numerous industries, and the power utility sector is no exception. Power Utility companies face four significant challenges due to the growth of the Internet of Things (IoT).

1. Machines, controllers, HMIs, and SCADA systems are increasingly becoming cloud-connected by vendors who promise enhanced analytics and insights for predictive and preventative maintenance. However, the quarantine policy for critical assets means that Power Companies cannot fully utilize these new IoT features provided by Machine/Controller Vendors.
2. As the cost of solar and wind power continues to decline, Utility companies will likely see a reduction in revenue from power generation. To offset this loss, they must aggressively explore new revenue streams such as energy management services for homes, energy storage as a service, offering grid services for EV charging, facilitating P2P energy trading between homes, microgrids, and batteries. These services require smart metering, smart grids, and secure transactions, which can be facilitated by distributed ledger technologies like IOTA. Additionally, Utilities are considering providing smart city services to local authorities.
3. For critical infrastructure such as dams, the International Committee of Large Dams (ICOLD) requires real-time Structural Health Monitoring (SHM) to predict and prevent any potential collapse or other hazards that could affect nearby populations.
4. Another emerging revenue area is EV charging in parking lots. IoT can facilitate smart charging and smart parking solutions, enhancing efficiency and user experience.

Over the past three years, significant changes have occurred in IoT engineering, primarily driven by major players like Microsoft, Google, and Amazon. These companies have invested billions to develop more manageable and secure IoT platforms. The momentum of IoT edge technology has also grown, both in research and deployment, as it is essential for practical IoT implementation. 5G promises to transform the business landscape of IoT, leading to extensive new areas of research funding. Consequently, it is crucial for practicing engineers to understand IoT platforms developed by major players like AWS, Google, and especially Microsoft.

However, none of these platforms offer a fully comprehensive solution for scalable IoT. For instance, deploying smart metering across millions of homes requires additional technology to secure the meters, radio networks, IoT management systems, and other secure services. The strategy, pricing, and security of any IoT deployment must be optimal and acceptable. Given the interdisciplinary knowledge required, it is challenging for companies to assemble a team that can meet all these needs.

This course aims to educate key decision-makers, developers, and security experts about the challenges, risks, and practical methods for deploying IoT in next-generation power utility businesses.

Additionally, managing IoT services for thousands of sensors and connections is emerging as a distinct engineering discipline. Known as managed IoT services, this field is growing rapidly because the challenges of scalable IoT are more significant than building them. This includes securing firmware/software updates, managing sensor calibration, diagnosing connection issues, identifying API failures, and monitoring the health of distributed systems.

Course Objectives

The main objective of this course is to introduce emerging technological options, platforms, and case studies of IoT implementation in Power Utility Companies, including Smart Metering, Smart Cars, Structural Health Monitoring (SHM), Power Quality Diagnosis, and Smart Contracts. It also provides a basic introduction to all elements of IoT, such as mechanical components, electronics/sensor platforms, wireless and wireline protocols, mobile-to-electronics integration, mobile-to-enterprise integration, data analytics, and control plane applications.

1. IoT Technology Stacks: Devices, Gateways, Edge, Edge Cloud, Public Cloud, IoT Databases, Web & Mobile Applications for IoT, Centralized vs. Decentralized IoT
2. IoT Ecosystem for Business, Third-Party Device Management, and Risk Management of the Entire IoT Ecosystem
3. M2M Wireless Protocols for IoT: WiFi, SigFox, LORA, LPWAN, Zigbee/Zwave, Bluetooth, ANT+: When and Where to Use Which One
4. Fundamentals of IoT Gateways: Risks, Management, and Ecosystem
5. Mobile/Desktop/Web Applications for Registration, Data Acquisition, and Control—Available M2M Data Acquisition Platforms for IoT—AWS IoT, Azure IoT, Google IoT
6. Security Issues and Solutions for IoT: Review of Security Across All Technology Stacks
7. Enterprise IoT Platforms such as Microsoft Azure IoT Suites, AWS IoT, Google IoT, Siemens MindSphere
8. Smart Metering, Open Smart Grid Protocols (OSGP), ANSI C 2.18 Protocols, NIST Standard for HAN (Home Area Network), Home Plug Powerline Alliance, Security Standards for Smart Meters—IEC 62056
9. Distributed Ledger Technology (DLT) such as Blockchain, HyperLedger, and DAG (Direct Acyclic Graph) for Smart Contracts, P2P Transactions, and Smart Car Charging
10. IoT for Critical Infrastructure like Dams, Transformers, Substations, High-Tension Wires

Internet of Things (IoT) is a network infrastructure that links physical objects and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Python is a high-level programming language recommended for IoT due to its clear syntax and extensive community support.

In this instructor-led, live training, participants will learn how to program IoT solutions using Python.

By the end of this training, participants will be able to:

• Understand the fundamentals of IoT architecture
• Learn the basics of working with Raspberry Pi
• Install and configure Python on Raspberry Pi
• Discover the advantages of using Python in programming IoT systems
• Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

The Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, enabling them to communicate with each other and exchange data through network communications, cloud computing, and data capture.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of IoT as they work through the process of creating an IoT sensor system using the Raspberry Pi.

By the end of this training, participants will be able to:

• Grasp the principles of IoT, including its components and communication techniques
• Learn how to configure the Raspberry Pi for IoT applications
• Create and deploy their own IoT Sensor System

Audience

• Hobbyists
• Hardware and software engineers and technicians
• Technical professionals from all industries
• Beginner developers

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• The Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
• Participants are responsible for purchasing the necessary Raspberry Pi hardware and components.

Over the past three years, engineering in the Internet of Things (IoT) has undergone significant changes, primarily driven by major companies like Microsoft, Google, and Amazon. These giants have invested billions to develop IoT platforms that are easier to manage and secure various data perimeters. Additionally, IoT edge computing has gained considerable momentum in both research and deployment, becoming a practical necessity for IoT implementation. The advent of 5G also promises to revolutionize the business landscape of IoT. This has resulted in a broad range of new areas receiving substantial research funding in IoT.

However, the widespread adoption of IoT is slow due to security concerns at multiple levels. Securing firmware and gateways remains far from optimal. A significant issue is the lack of agreement among major IoT vendors regarding security standards. Microsoft Azure and Amazon AWS have each introduced their own security protocols, while NIST proposes a more comprehensive approach. The OWASP model of 10 layers of IoT security has had some impact but failed to gain widespread adoption due to resistance from major platforms like Azure or Google.

Another critical area of concern is the security of firmware. Most firmware remains vulnerable to patching, whether through over-the-top (OTA) updates or via local hardware ports.

Course Objective

1. Provide an introduction to all technology stacks, data models, and vulnerabilities in IoT.
2. Illustrate the layers of vulnerability at each stack and between stacks.
3. Address vulnerabilities from vendors and third-party devices.
4. Learn about the NIST standard for IoT security.

In this instructor-led, live training in Slovakia, participants will understand Internet of Things (IoT) architectures and learn the different IoT security solutions applicable to their organization.

By the end of this training, participants will be able to:

• Understand IoT architectures.
• Understand emerging IoT security threats and solutions.
• Implement technologies for IoT security in their organization.

This instructor-led, live training in Slovakia (online or onsite) is aimed at developers and programmers who wish to install, configure, and manage the Kaa platform to build IoT applications.

By the end of this training, participants will be able to build, develop, manage, and implement IoT applications for smart devices and machines using Kaa.

Machine-to-Machine (M2M) involves the direct, automated exchange of information between interconnected mechanical or electronic devices.

In this instructor-led, live training in Slovakia, participants will learn about the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT based application.

By the end of this training, participants will be able to:

• Identify the different components of NB-IoT and how to fit together to form an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

In this instructor-led, live training in Slovakia, participants will learn how to maximize the performance of Nginx as they set up, configure, monitor and troubleshoot Nginx for handling various forms of HTTP / TCP traffic. Topics covered include how to configure the most important parameters in Nginx, the OS and a virtual machine to gain maximum value out of Nginx.

ThingsBoard is an open-source IoT platform that provides device management, data collection, processing, and visualization for your IoT solutions.

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT projects.

By the end of this training, participants will be able to:

• Install and configure ThingsBoard
• Understand the core features and architecture of ThingsBoard
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for device data routing
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the course

• Combination of lecture, discussion, practical exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.